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84 Publikationen

2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1794419
Herold J, Zhou L, Abouna S, Pelengaris S, Epstein D, Khan M, Nattkemper TW (2010)
Integrating semantic annotation and information visualization for the analysis of multichannel fluorescence micrographs from pancreatic tissue.
Computerized Medical Imaging and Graphics 34(6): 446-452.
PUB | DOI | WoS | PubMed | Europe PMC
 
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1929311
Gölzhäuser A, Nattkemper TW, Niehaus K, Pühler A, Sauer M (2010)
BioImaging: Contributions from biology, physics and informatics.
Journal of Biotechnology 149(4): 227-228.
PUB | DOI | WoS | PubMed | Europe PMC
 
2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1929335
Herold J, Schubert W, Nattkemper TW (2010)
Automated detection and quantification of fluorescently labeled synapses in murine brain tissue sections for high throughput applications.
JOURNAL OF BIOTECHNOLOGY 149(4): 299-309.
PUB | DOI | WoS | PubMed | Europe PMC
 
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018390
Herold J, Abouna S, Zhou L, Pelengaris S, Epstein DBA, Khan M, Nattkemper TW (2009)
A way towards analyzing high-content bioimage data by means of semantic annotation and visual data mining.
In: SPIE Medical Imaging. .
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018422
Ontrup J, Ehnert N, Bergmann M, Nattkemper TW (2009)
BIIGLE - Web 2.0 enabled labelling and exploring of images from the Arctic deep-sea observatory HAUSGARTEN.
In: OCEANS 2009 - Europe. Bremen.
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018427
Qureshi H, Rajpoot N, Nattkemper TW, Hans V (2009)
A Robust Adaptive Wavelet-based Method for Classification of Meningioma Histology Images.
In: MICCAI«2009 Workshop on Optical Tissue Image Analysis in Microscopy, Histology, and Endoscopy. .
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1635314 OA
Diaz NN, Krause L, Goesmann A, Niehaus K, Nattkemper TW (2009)
TACOA - Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach.
BMC Bioinformatics 10(1): 56.
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2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1589531
Albaum S, Neuweger H, Fraenzel B, Lange S, Mertens D, Troetschel C, Wolters D, Kalinowski J, Nattkemper TW, Goesmann A (2009)
Qupe-a Rich Internet Application to take a step forward in the analysis of mass spectrometry-based quantitative proteomics experiments.
Bioinformatics 25(23): 3128-3134.
PUB | DOI | WoS | PubMed | Europe PMC
 
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1588783
Purser A, Bergmann M, Ontrup J, Nattkemper TW (2009)
Use of machine-learning algorithms for the automated detection of cold-water coral habitats: a pilot study.
Marine Ecology Progress Series 397: 241-251.
PUB | DOI | WoS
 
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1591448
Saalbach A, Lange O, Nattkemper TW, Meyer-Baese A (2009)
On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL 4(3): 247-253.
PUB | DOI | WoS | PubMed | Europe PMC
 
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018440
Schoening T, Ehnert N, Ontrup J, Nattkemper TW (2009)
BIIGLE Tools - A Web 2.0 Approach for Visual Bioimage Database Mining.
In: IV 09 - Intl. Conference on Information Visualization. .
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018405
Loyek C, Woermann FG, Nattkemper TW (2008)
Detection of Focal Cortical Dysplasia in MRI Using Textural Features.
In: Proceedings of BVM 2008. Berlin, Heidelberg: Springer Verlag: 432-436.
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2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1636280 OA
Timm W, Scherbart A, Boecker S, Kohlbacher O, Nattkemper TW (2008)
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics.
BMC Bioinformatics 9(1): 443.
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2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1585611 OA
Wei N, Flaschel E, Friehs K, Nattkemper TW (2008)
A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selection and classification.
BMC Bioinformatics 9(1): 449.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1587052
Martin C, Diaz NN, Ontrup J, Nattkemper TW (2008)
Hyperbolic SOM-based clustering of DNA fragment features for taxonomic visualization and classification.
Bioinformatics 24(14): 1568-1574.
PUB | DOI | WoS | PubMed | Europe PMC
 
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1588286
Twellmann T, Meyer-Baese A, Lange O, Foo S, Nattkemper TW (2008)
Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 21(2): 129-140.
PUB | DOI | WoS | PubMed | Europe PMC
 
2008 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1783364 OA
Krause L, Diaz NN, Goesmann A, Kelley S, Nattkemper TW, Rohwer F, Edwards RA, Stoye J (2008)
Phylogenetic classification of short environmental DNA fragments.
Nucleic Acids Research 36(7): 2230-2239.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018409
Martin C, Nattkemper TW (2008)
A Tree Index to Support Clustering Based Exploratory Data Analysis.
In: Bioinformatics Research and Development : Second International Conference, BIRD 2008 Vienna, Austria, July 7-9, 2008 Proceedings. Communications in Computer and Information Science, 13. Berlin, Heidelberg: Springer: 1-15.
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018435
Scherbart A, Timm W, Böcker S, Nattkemper TW (2008)
Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting.
In: International Conference on Neural Information Processing. Auckland, New Zealand.
PUB | DOI
 
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2018381
Albaum S, Neuweger H, Lange S, Mertens D, Runte K, Kalinowski J, Nattkemper TW, Goesmann A (2008)
ProSE - "Software as a Service" for Quantitative Proteomics (Poster abstract).
In: HUPO 7th Annual World Congress. .
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